> Graphify: the code knowledge graph for agents. Canonical: https://graphify.com/blog/how-to-use-graphify-in-perplexity-computer · Full index: https://graphify.com/llms-full.txt

# How to use Graphify in Perplexity Computer

*October 27, 2026 · Syed Fahad*

To use Graphify in Perplexity Computer, install the Graphify skill from Plugins, type `/graphify` in a Computer task, and paste a link to a public GitHub repository. Computer clones the code, builds a knowledge graph, and returns an interactive map, a downloadable bundle, and a report. [Perplexity can now use Graphify](https://graphify.com/blog/perplexity-can-now-use-graphify) has the announcement.

## How do you install the Graphify skill?

1. Open **Plugins** in the left sidebar.
2. Go to the **Skills** tab and search for `graphify`.
3. Open **Graphify**, listed under Developer.
4. Select **Install**. The button becomes an **Enabled** toggle.

![The Graphify skill page in Perplexity Computer, with the Enabled toggle switched on.](listing.webp)

Perplexity is making tasks that use `/graphify` free through October 31, 2026, up to 5,000 credits per Computer user, so this is a good week to map the repositories you care about.

## How do you start a Graphify task?

1. Select **New** and set the mode to **Computer**.
2. Type `/graphify` and choose **Use** to pick the skill.
3. Tell it which repository to map.

![The Perplexity Computer prompt box showing the Graphify skill highlighted under Skills, with /graphify typed and Computer mode on.](slash.webp)

This is the prompt we used on our own repository:

```text
map the codebase at https://github.com/Graphify-Labs/graphify
```

Computer cloned the public repository on its own. There was no connector to add, nothing to upload, and no sign-in. It chose the files that matter, 102 code files and three docs, and finished in about five minutes.

## What do you get back?

Every run ends with three artifacts in the task:

- **Graphify Codebase Map**, an interactive app you can open in the task.
- **Graphify Codebase Map Bundle**, a ZIP with `graph.json`, `graph.html`, the raw extraction, and a notes file.
- **Graphify Codebase Graph Report**, a write-up of the key functions, the main flow, and questions worth asking.

![The three artifacts from a Graphify run in Perplexity Computer: the map app, the ZIP bundle, and the graph report.](artifacts.webp)

On the Graphify repository, the map held 4,022 nodes, 10,079 directed edges, and 192 communities.

## How do you explore the map?

The map draws every node and edge as a force-directed graph. Each edge keeps its direction, its relation type, a [confidence tag](https://graphify.com/blog/grounded-answers-confidence-tags), and the source file it came from.

- **Search nodes** finds any file or function by name.
- **Node info** opens when you click a node. It shows the type, the community, the source path, the degree, and the full list of neighbors. Selecting `extract.py` shows a degree of 442, in the community Extract Core & Template Masking.
- **Communities** lists each cluster of closely linked code with its size. Tick or untick one to show or hide it.
- **Light, Dark, and System** switch the theme.

![The Graphify map in Perplexity Computer, with extract.py selected: node info shows degree 442 and its neighbors, and the communities list shows each cluster with its size.](graph-map.webp)

## What should you ask next?

The map stays in the task, so follow-up questions answer from the graph instead of rereading files. Good ones to start with:

```text
Which functions call the authentication middleware?
```

```text
How does a request get from the API router to the database?
```

```text
What are the most connected functions, and what depends on them?
```

```text
Trace how deduplicate_entities() connects the deduplication code.
```

## How do you run Graphify locally?

The engine behind the skill is open source on [GitHub](https://github.com/Graphify-Labs/graphify). It needs Python 3.10 or newer and uv. The package is `graphifyy` and the command is `graphify`:

```bash
uv tool install graphifyy
graphify install
```

`graphify install` detects your assistant and registers the skill. Then type this in Claude Code, Cursor, Gemini CLI, or [another supported assistant](https://graphify.com/integrations):

```text
/graphify .
```

You get the same three files locally in `graphify-out/`: `graph.html`, `GRAPH_REPORT.md`, and `graph.json`.